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<div class="header">
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<a href="#pub-methods">Public Member Functions</a>  </div>
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<div class="title">ICPPKernel Class Reference<span class="mlabels"><span class="mlabel">abstract</span></span></div>  </div>
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<div class="contents">

<p>Common interface for all kernels implemented in C++.  
 <a href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#details">More...</a></p>

<p><code>#include &lt;<a class="el" href="_i_c_p_p_kernel_8h_source.xhtml">ICPPKernel.h</a>&gt;</code></p>
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Collaboration diagram for ICPPKernel:</div>
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<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:a033d17a97e07cea7fe83eefcf23540f6"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a033d17a97e07cea7fe83eefcf23540f6">~ICPPKernel</a> ()=default</td></tr>
<tr class="memdesc:a033d17a97e07cea7fe83eefcf23540f6"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default destructor.  <a href="#a033d17a97e07cea7fe83eefcf23540f6">More...</a><br /></td></tr>
<tr class="separator:a033d17a97e07cea7fe83eefcf23540f6"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af814ff5e96f40f1cccf809b2b4ee19ef"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#af814ff5e96f40f1cccf809b2b4ee19ef">run</a> (const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>, const <a class="el" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &amp;info)=0</td></tr>
<tr class="memdesc:af814ff5e96f40f1cccf809b2b4ee19ef"><td class="mdescLeft">&#160;</td><td class="mdescRight">Execute the kernel on the passed window.  <a href="#af814ff5e96f40f1cccf809b2b4ee19ef">More...</a><br /></td></tr>
<tr class="separator:af814ff5e96f40f1cccf809b2b4ee19ef"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1a30ad8f276a2310571c36239554831a"><td class="memItemLeft" align="right" valign="top">virtual const char *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a1a30ad8f276a2310571c36239554831a">name</a> () const =0</td></tr>
<tr class="memdesc:a1a30ad8f276a2310571c36239554831a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Name of the kernel.  <a href="#a1a30ad8f276a2310571c36239554831a">More...</a><br /></td></tr>
<tr class="separator:a1a30ad8f276a2310571c36239554831a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_classarm__compute_1_1_i_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_kernel')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_kernel.xhtml">IKernel</a></td></tr>
<tr class="memitem:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">IKernel</a> ()</td></tr>
<tr class="memdesc:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="#a7250cb8cbaa4104a93a2d77155085507">More...</a><br /></td></tr>
<tr class="separator:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">~IKernel</a> ()=default</td></tr>
<tr class="memdesc:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Destructor.  <a href="#a341b60d15a5e12a5b8f3825194dd3b12">More...</a><br /></td></tr>
<tr class="separator:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:abfab8f0d4928e1081d9f65b77933e24a inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#abfab8f0d4928e1081d9f65b77933e24a">is_parallelisable</a> () const </td></tr>
<tr class="memdesc:abfab8f0d4928e1081d9f65b77933e24a inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Indicates whether or not the kernel is parallelisable.  <a href="#abfab8f0d4928e1081d9f65b77933e24a">More...</a><br /></td></tr>
<tr class="separator:abfab8f0d4928e1081d9f65b77933e24a inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa6daa9b04e2035bf007e5e5c3c4396a8 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#aa6daa9b04e2035bf007e5e5c3c4396a8">border_size</a> () const </td></tr>
<tr class="memdesc:aa6daa9b04e2035bf007e5e5c3c4396a8 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">The size of the border for that kernel.  <a href="#aa6daa9b04e2035bf007e5e5c3c4396a8">More...</a><br /></td></tr>
<tr class="separator:aa6daa9b04e2035bf007e5e5c3c4396a8 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3f5646133956f06348b310ccc3d36353 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a> () const </td></tr>
<tr class="memdesc:a3f5646133956f06348b310ccc3d36353 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">The maximum window the kernel can be executed on.  <a href="#a3f5646133956f06348b310ccc3d36353">More...</a><br /></td></tr>
<tr class="separator:a3f5646133956f06348b310ccc3d36353 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>Common interface for all kernels implemented in C++. </p>

<p>Definition at line <a class="el" href="_i_c_p_p_kernel_8h_source.xhtml#l00035">35</a> of file <a class="el" href="_i_c_p_p_kernel_8h_source.xhtml">ICPPKernel.h</a>.</p>
</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
<a class="anchor" id="a033d17a97e07cea7fe83eefcf23540f6"></a>
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<div class="memproto">
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          <td class="memname">virtual ~<a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">ICPPKernel</a> </td>
          <td>(</td>
          <td class="paramname"></td><td>)</td>
          <td></td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">virtual</span><span class="mlabel">default</span></span>  </td>
  </tr>
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</div><div class="memdoc">

<p>Default destructor. </p>

</div>
</div>
<h2 class="groupheader">Member Function Documentation</h2>
<a class="anchor" id="a1a30ad8f276a2310571c36239554831a"></a>
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      <table class="memname">
        <tr>
          <td class="memname">virtual const char* name </td>
          <td>(</td>
          <td class="paramname"></td><td>)</td>
          <td> const</td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">pure virtual</span></span>  </td>
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</div><div class="memdoc">

<p>Name of the kernel. </p>
<dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_kernel.xhtml" title="Kernel class. ">Kernel</a> name </dd></dl>

<p>Implemented in <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEWinogradLayerBatchedGEMMKernel&lt; TIn, TOut, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEWinogradLayerTransformWeightsKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEWinogradLayerTransformOutputKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEConvolutionRectangleKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEEdgeTraceKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESeparableConvolutionVertKernel&lt; matrix_size &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEWinogradLayerTransformInputKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_accumulate_squared_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEAccumulateSquaredKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEEdgeNonMaxSuppressionKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMinMaxLocationKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMLowpMatrixBReductionKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESeparableConvolutionHorKernel&lt; matrix_size &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEHOGBlockNormalizationKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_harris_score_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEHarrisScoreKernel&lt; block_size &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESobel5x5VertKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESobel7x7VertKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NELogits1DSoftmaxKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGaussianPyramidVertKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMLowpMatrixAReductionKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMTranspose1xWKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_accumulate_weighted_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEAccumulateWeightedKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGaussian5x5VertKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEIm2ColKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEWeightsReshapeKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEConvolutionKernel&lt; matrix_size &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_col2_im_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NECol2ImKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMInterleave4x4Kernel</a>, <a class="el" href="classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NELKTrackerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMLowpOffsetContributionKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NECumulativeDistributionKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMLowpMatrixMultiplyKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEScharr3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESobel3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">CPPCornerCandidatesKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEConvertFullyConnectedWeightsKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMMatrixAdditionKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_accumulate_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEAccumulateKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEActivationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEDepthwiseVectorToTensorKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_histogram_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEHistogramKernel</a>, <a class="el" href="classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">CPPDetectionWindowNonMaximaSuppressionKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEChannelCombineKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEChannelExtractKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_fill_array_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEFillArrayKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMMatrixMultiplyKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_min_max_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMinMaxKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NENonMaximaSuppression3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_n_e_threshold_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEThresholdKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEAbsoluteDifferenceKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEBitwiseAndKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEBitwiseNotKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEBitwiseOrKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEBitwiseXorKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEDepthwiseIm2ColKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEDequantizationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEFastCornersKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMeanStdDevKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMinMaxLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEQuantizationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NETransposeKernel</a>, <a class="el" href="classarm__compute_1_1_c_p_p_permute_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">CPPPermuteKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEDepthConcatenateLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEDepthConvertLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEDepthwiseConvolutionLayer3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEDepthwiseWeightsReshapeKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEHOGDetectorKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NENonLinearFilterKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_permute_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEPermuteKernel</a>, <a class="el" href="classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">CPPSortEuclideanDistanceKernel</a>, <a class="el" href="classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">CPPUpsampleKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_gradient_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGradientKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_color_convert_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEColorConvertKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_derivative_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEDerivativeKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEDirectConvolutionLayerOutputStageKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_fill_border_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEFillBorderKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEFillInnerBorderKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEHOGOrientationBinningKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMagnitudePhaseKernel&lt; mag_type, phase_type &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEROIPoolingLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESobel5x5HorKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NESobel7x7HorKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEArithmeticAdditionKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEArithmeticSubtractionKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEBatchNormalizationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NENormalizationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEPixelWiseMultiplicationKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_remap_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NERemapKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_scale_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEScaleKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NELogits1DMaxKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NETableLookupKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_box3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEBox3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_n_e_dilate_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEDilateKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEDirectConvolutionLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_erode_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEErodeKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_floor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEFloorKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGaussian3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGaussian5x5HorKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGaussianPyramidHorKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_assembly_base_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMAssemblyBaseKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMMatrixVectorMultiplyKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_integral_image_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEIntegralImageKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEL2NormalizeLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NELocallyConnectedMatrixMultiplyKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_median3x3_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEMedian3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEPoolingLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEReductionOperationKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEReshapeLayerKernel</a>, and <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">NEGEMMMatrixAccumulateBiasesKernel</a>.</p>

<p>Referenced by <a class="el" href="_scheduler_timer_8cpp_source.xhtml#l00037">SchedulerTimer::id()</a>, and <a class="el" href="_n_e_harris_corners_kernel_8h_source.xhtml#l00087">NEHarrisScoreKernel&lt; block_size &gt;::name()</a>.</p>

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          <td class="memname">virtual void run </td>
          <td>(</td>
          <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td>
          <td class="paramname"><em>window</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &amp;&#160;</td>
          <td class="paramname"><em>info</em>&#160;</td>
        </tr>
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          <td></td>
          <td>)</td>
          <td></td><td></td>
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<span class="mlabels"><span class="mlabel">pure virtual</span></span>  </td>
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<p>Execute the kernel on the passed window. </p>
<dl class="section warning"><dt>Warning</dt><dd>If <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#abfab8f0d4928e1081d9f65b77933e24a" title="Indicates whether or not the kernel is parallelisable. ">is_parallelisable()</a> returns false then the passed window must be equal to <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353" title="The maximum window the kernel can be executed on. ">window()</a></dd></dl>
<dl class="section note"><dt>Note</dt><dd>The window has to be a region within the window returned by the <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353" title="The maximum window the kernel can be executed on. ">window()</a> method</dd>
<dd>
The width of the window has to be a multiple of num_elems_processed_per_iteration().</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td>Region on which to execute the kernel. (Must be a region of the window returned by <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353" title="The maximum window the kernel can be executed on. ">window()</a>) </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">info</td><td>Info about executing thread and CPU. </td></tr>
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<p>Implemented in <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEWinogradLayerBatchedGEMMKernel&lt; TIn, TOut, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEWinogradLayerTransformWeightsKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEWinogradLayerTransformOutputKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEConvolutionRectangleKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_edge_trace_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEEdgeTraceKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NESeparableConvolutionVertKernel&lt; matrix_size &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEWinogradLayerTransformInputKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_edge_non_max_suppression_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEEdgeNonMaxSuppressionKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_min_max_location_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEMinMaxLocationKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_accumulate_squared_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEAccumulateSquaredKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_b_reduction_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpMatrixBReductionKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_h_o_g_block_normalization_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEHOGBlockNormalizationKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NESeparableConvolutionHorKernel&lt; matrix_size &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NESobel7x7VertKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_logits1_d_softmax_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NELogits1DSoftmaxKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NESobel5x5VertKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEIm2ColKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_l_k_tracker_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NELKTrackerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEWeightsReshapeKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGaussianPyramidVertKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_a_reduction_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpMatrixAReductionKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_harris_score_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEHarrisScoreKernel&lt; block_size &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_col2_im_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NECol2ImKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_batch_normalization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEBatchNormalizationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMTranspose1xWKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpOffsetContributionKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_pixel_wise_multiplication_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEPixelWiseMultiplicationKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEArithmeticAdditionKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_arithmetic_subtraction_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEArithmeticSubtractionKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_scale_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEScaleKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_accumulate_weighted_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEAccumulateWeightedKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEDirectConvolutionLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMMatrixMultiplyKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_histogram_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEHistogramKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_color_convert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEColorConvertKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMLowpMatrixMultiplyKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_min_max_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEMinMaxLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer_output_stage_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEDirectConvolutionLayerOutputStageKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_l2_normalize_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEL2NormalizeLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_activation_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEActivationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEDepthwiseConvolutionLayer3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_n_e_permute_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEPermuteKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_channel_combine_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEChannelCombineKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_convert_fully_connected_weights_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEConvertFullyConnectedWeightsKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_depth_convert_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEDepthConvertLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_normalization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NENormalizationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_dequantization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEDequantizationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_gaussian5x5_vert_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGaussian5x5VertKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMInterleave4x4Kernel</a>, <a class="el" href="classarm__compute_1_1_n_e_quantization_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEQuantizationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_reduction_operation_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEReductionOperationKernel</a>, <a class="el" href="classarm__compute_1_1_c_p_p_permute_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">CPPPermuteKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_channel_extract_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEChannelExtractKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEConvolutionKernel&lt; matrix_size &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_pooling_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEPoolingLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_scharr3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEScharr3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_n_e_sobel3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NESobel3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_n_e_transpose_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NETransposeKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_cumulative_distribution_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NECumulativeDistributionKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEROIPoolingLayerKernel</a>, <a class="el" href="classarm__compute_1_1_c_p_p_corner_candidates_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">CPPCornerCandidatesKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_h_o_g_detector_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEHOGDetectorKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_min_max_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEMinMaxKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_gradient_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGradientKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_depth_concatenate_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEDepthConcatenateLayerKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_depthwise_im2_col_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEDepthwiseIm2ColKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_fill_border_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEFillBorderKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_addition_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMMatrixAdditionKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_locally_connected_matrix_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NELocallyConnectedMatrixMultiplyKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_mean_std_dev_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEMeanStdDevKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_fill_array_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEFillArrayKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_fill_inner_border_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEFillInnerBorderKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMMatrixAccumulateBiasesKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_magnitude_phase_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEMagnitudePhaseKernel&lt; mag_type, phase_type &gt;</a>, <a class="el" href="classarm__compute_1_1_n_e_non_maxima_suppression3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NENonMaximaSuppression3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_n_e_sobel5x5_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NESobel5x5HorKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_sobel7x7_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NESobel7x7HorKernel</a>, <a class="el" href="classarm__compute_1_1_c_p_p_detection_window_non_maxima_suppression_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">CPPDetectionWindowNonMaximaSuppressionKernel</a>, <a class="el" href="classarm__compute_1_1_c_p_p_upsample_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">CPPUpsampleKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_absolute_difference_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEAbsoluteDifferenceKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_depthwise_vector_to_tensor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEDepthwiseVectorToTensorKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_non_linear_filter_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NENonLinearFilterKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_threshold_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEThresholdKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_fast_corners_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEFastCornersKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_h_o_g_orientation_binning_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEHOGOrientationBinningKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_remap_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NERemapKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_derivative_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEDerivativeKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_bitwise_and_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEBitwiseAndKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_bitwise_or_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEBitwiseOrKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_bitwise_xor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEBitwiseXorKernel</a>, <a class="el" href="classarm__compute_1_1_c_p_p_sort_euclidean_distance_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">CPPSortEuclideanDistanceKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_bitwise_not_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEBitwiseNotKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_depthwise_weights_reshape_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEDepthwiseWeightsReshapeKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_gaussian_pyramid_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGaussianPyramidHorKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_table_lookup_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NETableLookupKernel</a>, <a class="el" href="classarm__compute_1_1_i_n_e_warp_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">INEWarpKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_vector_multiply_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGEMMMatrixVectorMultiplyKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_logits1_d_max_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NELogits1DMaxKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_accumulate_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEAccumulateKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_gaussian5x5_hor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGaussian5x5HorKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_gaussian3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEGaussian3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_n_e_median3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEMedian3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_n_e_box3x3_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEBox3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_n_e_dilate_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEDilateKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_erode_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEErodeKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_integral_image_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEIntegralImageKernel</a>, <a class="el" href="classarm__compute_1_1_n_e_reshape_layer_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEReshapeLayerKernel</a>, and <a class="el" href="classarm__compute_1_1_n_e_floor_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">NEFloorKernel</a>.</p>

<p>Referenced by <a class="el" href="_n_e_g_e_m_m_lowp_reduction_kernel_8h_source.xhtml#l00072">NEGEMMLowpMatrixAReductionKernel::name()</a>, <a class="el" href="_n_e_harris_corners_kernel_8h_source.xhtml#l00087">NEHarrisScoreKernel&lt; block_size &gt;::name()</a>, <a class="el" href="_n_e_g_e_m_m_lowp_reduction_kernel_8h_source.xhtml#l00107">NEGEMMLowpMatrixBReductionKernel::name()</a>, <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00120">NEWinogradLayerTransformInputKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;::name()</a>, <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00238">NEWinogradLayerTransformOutputKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;::name()</a>, <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00383">NEWinogradLayerTransformWeightsKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;::name()</a>, and <a class="el" href="_n_e_winograd_convolution_layer_kernel_8h_source.xhtml#l00473">NEWinogradLayerBatchedGEMMKernel&lt; TIn, TOut, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;::name()</a>.</p>

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<hr/>The documentation for this class was generated from the following file:<ul>
<li>arm_compute/core/CPP/<a class="el" href="_i_c_p_p_kernel_8h_source.xhtml">ICPPKernel.h</a></li>
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